O C T O B E R 1 8 , 2 0 1 6 S A N F R A N C I S C O B A Y A R E A , C A

#DenodoDataFest

RAPID, AGILE DATA STRATEGIESFor Accelerating Analytics, Cloud, and Big Data Initiatives.

Proprietary and Confidential | 2

Tim Fredricks

Enterprise Data Architect, VSP Global

Enterprise Analytics and Information Management

Proprietary and Confidential | 3

AGENDA

About VSP Global

Problem Definition

Envisioned Solution

Business Benefits

Future Roadmap

Lessons Learned

Proprietary and Confidential | 4

ABOUT VSP GLOBAL

Seamless, multi-

channel way for

consumers to engage

professional

optometry for their

eye care and

eyewear, to protect

their vision and

overall health.

Largest national not-

for-profit vision

benefits and

services company.

Connecting 34,000

network providers

and 80 million

members worldwide.

Eyewear frame company

offering winning brands,

including prestigious

fashion and sports

labels, with over 18

million frames sold

annually in over 100

countries.

Ophthalmic

technology, lens

products,

and lab services.

UNITY® is the fastest

growing lens brand in

the industry.

Practice management

and EHR software

solutions that integrate

technology products

and services to

enhance patient care

while streamlining the

everyday complexities

of managing a

business.

Proprietary and Confidential | 5

PROBLEM DEFINITION

• Growth, Expansion, Acquisitions created disparate data environments

• Increased interdependence of LOBs requires new perspectives

• Direct to consumer, Omni-Channel initiatives

• Directive: Unification and Shared Consciousness

• Future: Information as a Product

Proprietary and Confidential | 6

DATA CHAOS

Proprietary and Confidential | 7

ENVISIONED SOLUTION

Data Sources

etc…

Data Integration Data Repository

Batch

Replication

Messaging

Events

Delivery, Presentation

Operational

Analytical

Predictive

Innovative

Provider

Order

Consumer

Other…

LDW

Raw, Relational

Refined, Dimensional

Data Governance – glossary, metadata, lineage, stewardship

Sin

gle

Acce

ss P

oin

t

Da

ta V

irtua

lizatio

n

Proprietary and Confidential | 8

BUSINESS BENEFITS

• Data Analysis vs Data Discovery – time and cost savings

• Consolidated Data Modeling – business view

• Improved Data Quality/Consistency – single source of truth

• Faster delivery, prototyping - define/refine requirements/deliverables

• Single Access Point – analytics and business intelligence

Proprietary and Confidential | 9

FUTURE ROADMAP

• Quick Wins for business problems – reinforce value, agility

• Enterprise Domain Models – evolving and complex

• Cross LOB Use Cases – integrated view of data across business areas

• Predictive vs Operational Views – future vs historical

Proprietary and Confidential | 10

LESSONS LEARNED

• Business Requirements and Participation are paramount

• Governance, Metadata, and Lineage are critical

• Iterative Releases increase engagement

• Enterprise Data Models are elusive

• Performance and Expectations must be managed carefully

Panel

M O D E R A T E D B Y :

Tim Fredricks

Enterprise Data Architect, VSP Global

Rick Hart

Director of Global Technology Solutions, BioStorage Technologies

Jeff Veis

VP Big Data Platform Marketing, Hewlett Packard Enterprise

Mike Litzkow

Sales Director, Denodo